Roberto Piva
Impact in
- Pathology and Forensic Medicine top 0.5%
- Lymphoma Diagnosis and Treatment
- Oncology top 1%
- Viral-associated cancers and disorders
Papers in
-
- Lymphoma Diagnosis and Treatment 34
- Genetics 25
- Chronic Lymphocytic Leukemia Research 12
- Glioma Diagnosis and Treatment 8
- Co-authors
- Giorgio Inghirami (23 shared papers)Roberto Chiarle (14 shared papers)Chiara Ambrogio (4 shared papers)Claudia Voena (3 shared papers)Antonio Migheli (9 shared papers)Davide Schiffer (12 shared papers)Giuseppe Belardo (3 shared papers)Massimo Santoro (3 shared papers)
- Journals
- Blood (15 papers)Cancers (9 papers)Leukemia (6 papers)Journal of Neuropathology & Experimental Neurology (6 papers)Oncotarget (3 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Roberto Piva
127 papers receiving 6.7k citations
Roberto Piva's Hit Papers
Peers
Comparison fields: 5 of 137
- Pathology and Forensic Medicine 2.0k
- Oncology 2.0k
- Genetics 758
- Cancer Research 940
- Immunology 1.1k
Countries citing papers authored by Roberto Piva
This map shows the geographic impact of Roberto Piva's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Roberto Piva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Piva more than expected).
Fields of papers citing papers by Roberto Piva
This network shows the impact of papers produced by Roberto Piva. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Roberto Piva. The network helps show where Roberto Piva may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto Piva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The anaplastic lymphoma kinase in the pathogenesis of cancer Hit paper breakdown → | 2007 | 730 |
| 2 | Convergent Mutations and Kinase Fusions Lead to Oncogenic STAT3 Activation in Anaplastic Large Cell Lymphoma Hit paper breakdown → | 2015 | 376 |
| 3 | 2002 | 335 | |
| 4 | 2001 | 251 | |
| 5 | 2007 | 232 | |
| 6 | 2003 | 213 | |
| 7 | 2001 | 161 | |
| 8 | 2006 | 144 | |
| 9 | 2006 | 140 | |
| 10 | 1997 | 139 | |
| 11 | 2010 | 133 | |
| 12 | 2013 | 113 | |
| 13 | 2005 | 112 | |
| 14 | 2011 | 107 | |
| 15 | 2005 | 106 | |
| 16 | 2012 | 106 | |
| 17 | 2013 | 99 | |
| 18 | 2017 | 96 | |
| 19 | 2015 | 95 | |
| 20 | 2012 | 94 |
About Roberto Piva
Roberto Piva is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Cancer Research and Molecular Biology, having authored 134 papers that have together received 6.9k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (34 papers), Chronic Lymphocytic Leukemia Research (12 papers), Cancer-related Molecular Pathways (10 papers), Lung Cancer Treatments and Mutations (10 papers), Multiple Myeloma Research and Treatments (8 papers), Glioma Diagnosis and Treatment (8 papers), Ubiquitin and proteasome pathways (7 papers) and T-cell and Retrovirus Studies (7 papers). The work is most often cited by research in Pathology and Forensic Medicine (2.0k citations), Oncology (2.0k citations), Genetics (758 citations), Cancer Research (940 citations) and Immunology (1.1k citations). Roberto Piva has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Giorgio Inghirami, Roberto Chiarle, Chiara Ambrogio, Claudia Voena, Antonio Migheli, Davide Schiffer, Giuseppe Belardo, Massimo Santoro, Cristiana Atzori and Jennifer E. Howes. Their work appears in journals such as Blood, Cancers, Leukemia, Journal of Neuropathology & Experimental Neurology and Oncotarget.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.